Sr. Manager, Observability Platform Engineering

Overview

RDQ
427R138

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.

And we're only getting started.

As the Manager of the Observability Platform team, you will lead the engineers responsible for building and scaling the next generation of Databricks’ global observability systems. Your team enables every Databricks engineer—and our customers—to monitor, diagnose, and improve the reliability of our platform at massive scale. You will guide the strategy, architecture, and execution of systems that handle billions of active time series and process petabytes of logs daily, ensuring world-class visibility into the health and performance of our products.

In this role, you will:

• Lead the design and development of the next-generation observability platforms that support billions of active time series and process petabytes of logs every day.
• Oversee infrastructure deployed across nearly a hundred cloud regions, empowering internal engineers and customers to effectively monitor the reliability and performance of Databricks.
• Drive the creation of advanced troubleshooting workflows that accelerate incident diagnosis, enabling engineers to rapidly derive insights from logs, metrics, and other telemetry.
• Leverage Databricks’ own data intelligence platform to push the boundaries of observability, setting new standards for industry-leading incident analysis and reliability practices.
• Establish and uplevel monitoring and reliability best practices across Databricks engineering by developing opinionated tools and standards for structured logs, metrics, alerts, dashboards, and on-call operations.
• Mentor, grow, and inspire engineers, fostering a culture of technical excellence and strengthening the broader observability community within Databricks.

• 5+ years experience in the performance analysis discipline. Ability to identify performance issues, root cause problems, and be able to come up with potential solutions.
• Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems.
• At least 3 years of experience in managing top-tier engineering teams
• BS in Computer Science (Masters or higher level of education preferred)
• Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$222,000 — $300,000 USD

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with…